Data Mining Critical Infrastructure Systems---Models and Tools

Liangzhe Chen and B. Aditya Prakash

Department of Computer Science, Virginia Tech.


Conference Link

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Critical Infrastructure Systems such as transportation, water and power grid systems are vital to our national security, economy, and public safety. These different infrastructures are also interdependent on each other in such a complicated way that failures in one may lead to failures in the others. Recent events, like Hurricanes Harvey and Irma, show how the interdependencies among different CI networks lead to catastrophic failures among the whole system. Hence, analyzing these CI networks becomes a very important problem. Can we understand how different CISs are related to each? Moreover, given a natural disaster like a hurricane or an earthquake, can we analyze and predict their impact on the CISs? How can we help policy makers in such situations?

Different types of approaches (empirical, agent based, system-dynamics based, etc.) have been proposed. In this tutorial, we will cover recent and state-of-the-art research on interesting CIS problems both generally and in specific popular systems (power and transportation). We will also cover tools that support decision making during events. The tutorial will be in 2 hours, with a 5 min break. This tutorial has not been presented before in other venues.


License: for education and research, you are welcome to use parts of this presentation, for free, with standard academic attribution. For-profit usage requires written permission by the authors.

in PPTX:

  1. All Slides 72MB.